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1
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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2
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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3
Modeling Leadership Behavior of Players in Virtual Worlds
In: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Vol. 11 No. 1 (2015): Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference ; 2334-0924 ; 2326-909X (2015)
BASE
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4
Modeling Sociocultural phenomena in discourse
In: Natural language engineering. - Cambridge : Cambridge University Press 19 (2013) 2, 213-257
OLC Linguistik
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5
HITIQA: high-quality intelligence through interactive question answering
In: Natural language engineering. - Cambridge : Cambridge University Press 15 (2009) 1, 31-54
BLLDB
OLC Linguistik
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6
Information retrieval
In: The Oxford handbook of computational linguistics (New York, 2009), p. 529-544
MPI für Psycholinguistik
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7
The AMITIÉS system : data-driven techniques for automated dialogue
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 3-4, 354-373
BLLDB
OLC Linguistik
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8
Advances in open domain question answering
Strzalkowski, Tomek (Hrsg.); Harabagiu, Sanda. - Dordrecht : Springer, 2006
IDS Mannheim
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9
Advances in open domain question answering
Harabagiu, Sanda M. (Hrsg.); Strzalkowski, Tomek (Hrsg.). - Dordrecht : Springer, 2006
BLLDB
UB Frankfurt Linguistik
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10
HITIQA: A Data Driven Approach to Interactive Analytical Question Answering
In: DTIC (2004)
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11
HITIQA: Towards Analytical Question Answering
In: DTIC (2004)
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12
HITIQA: An Interactive Question Answering System. A Preliminary Report
In: DTIC (2003)
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13
Dialogue Management for an Automated Multilingual Call Center
In: DTIC (2003)
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14
Book Reviews - Natural Language Information Retrieval
In: Computational linguistics. - Cambridge, Mass. : MIT Press 26 (2000) 3, 460-462
OLC Linguistik
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15
Natural language information retrieval
Strzalkowski, Tomek (Hrsg.). - Dordrecht ; Boston [u.a.] : Kluwer, 1999
IDS Mannheim
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16
Natural language information retrieval
Kupiec, Julian (Mitarb.); Leistensnider, James (Mitarb.); Riloff, Ellen (Mitarb.). - Dordrecht [u.a.] : Kluwer, 1999
BLLDB
UB Frankfurt Linguistik
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17
Building Effective Queries in Natural Language Information Retrieval
In: DTIC (1997)
Abstract: In this paper we report on our natural language information retrieval (NLIR) project as related to the recently concluded 5th Text Retrieval Conference (TREC-5). The main thrust of this project is to use natural language processing techniques to enhance the effectiveness of full-text document retrieval. One of our goals was to demonstrate that robust if relatively shallow NLP can help to derive a better representation of text documents for statistical search. Recently, we have turned our attention away from text representation issues and more towards query development problems. While our NLIR system still performs extensive natural language processing in order to extract phrasal and other indexing terms, our focus has shifted to the problems of building effective search queries. Specifically, we are interested in query construction that uses words, sentences, and entire passages to expand initial topic specifications in an attempt to cover their various angles, aspects and contexts. Based on our earlier results indicating that NLP is more effective with long, descriptive queries, we allowed for long passages from related documents to be liberally imported into the queries. This method appears to have produced a dramatic improvement in the performance of two different statistical search engines that we tested (Cornell's SMART and NIST's Prise) boosting the average precision by at least 40%. In this paper we discuss both manual and automatic procedures for query expansion within a new stream-based information retrieval model. ; Sponsored in part by the National Science Foundation under Grant No., IRI-93-02615.
Keyword: *INFORMATION PROCESSING; *INFORMATION RETRIEVAL; *NATURAL LANGUAGE; CODING; Computer Programming and Software; INDEX TERMS; Information Science; MODELS; PERFORMANCE(ENGINEERING); QUERIES; QUEUEING THEORY; STATISTICAL ANALYSIS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460509
http://www.dtic.mil/docs/citations/ADA460509
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18
Recent advances in parsing technology
Raaijmakers, Stephan (Mitarb.); Rönnquist, Ralph (Mitarb.); Strzalkowski, Tomek (Mitarb.). - Dordrecht [u.a.] : Kluwer, 1996
BLLDB
UB Frankfurt Linguistik
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19
NLP Track at TREC-5
In: DTIC (1996)
BASE
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20
Natural Language Information Retrieval: Tipster-2 Final Report
In: DTIC (1996)
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